Data Engineers

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Free Data Engineering Ebooks & Courses

Network:Free Courses with Certificate - Python Programming, Data Science, Java Coding, SQL, Web Development, AI, ML, ChatGPT Expert India38 949 Education19 167...

📈 Analytical overview of Telegram channel Data Engineers

Channel Data Engineers (@sql_engineer) in the English language segment is an active participant. Currently, the community unites 10 421 subscribers, ranking 19 167 in the Education category and 38 949 in the India region.

📊 Audience metrics and dynamics

Since its creation on невідомо, the project has demonstrated rapid growth, gathering an audience of 10 421 subscribers.

According to the latest data from 23 June, 2026, the channel demonstrates stable activity. Although there has been a change in the number of participants by 189 over the last 30 days and by 9 over the last 24 hours, overall reach remains high.

Verification status: Not verified
Engagement rate (ER): The average audience engagement rate is 14.46%. Within the first 24 hours after publication, content typically collects N/A% reactions from the total number of subscribers.
Post reach: On average, each post receives 0 views. Within the first day, a publication typically gains 0 views.
Reactions and interaction: The audience actively supports content: the average number of reactions per post is 0.
Thematic interests: Content is focused on key topics such as sql, learning, analytic, engineer, link:-.

📝 Description and content policy

The author describes the resource as a platform for expressing subjective opinions:
“Free Data Engineering Ebooks & Courses”

Thanks to the high frequency of updates (latest data received on 24 June, 2026), the channel maintains relevance and a high level of publication reach. Analytics show that the audience actively interacts with content, making it an important point of influence in the Education category.

10 421

Subscribers

+924 hours

+77 days

+18930 days

1 507

Post views

No data24 hours

No data48 hours

14.46%

Engagement rate

No data

Posts per day

Ads index

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Incoming and Outgoing Mentions

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Attracting Subscribers

June '26

+144

in 2 channels

May '26

+251

in 3 channels

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April '26

+283

in 1 channels

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March '26

+170

in 2 channels

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February '26

+177

in 3 channels

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January '26

+232

in 3 channels

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December '25

+188

in 0 channels

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November '25

+207

in 4 channels

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October '25

+259

in 2 channels

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September '25

+207

in 2 channels

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August '25

+273

in 4 channels

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July '25

+231

in 3 channels

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June '25

+231

in 7 channels

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May '25

+146

in 9 channels

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April '25

+281

in 6 channels

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March '25

+336

in 5 channels

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February '25

+103

in 9 channels

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January '25

+283

in 13 channels

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December '24

+313

in 4 channels

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November '24

+629

in 7 channels

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October '24

+726

in 8 channels

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September '24

+921

in 14 channels

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August '24

+1 280

in 9 channels

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July '24

+1 260

in 16 channels

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June '24

+650

in 9 channels

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May '24

+759

in 14 channels

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April '24

+166

in 0 channels

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March '24

+225

in 0 channels

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February '24

+809

in 0 channels

Date	Subscriber Growth	Mentions	Channels
24 June	+9
23 June	+9
22 June	+2
21 June	+3
20 June	+1
19 June	+1
18 June	+1
17 June	+4
16 June	+2
15 June	+3
14 June	+5
13 June	+12
12 June	+9
11 June	+5
10 June	+7
09 June	+12
08 June	+12
07 June	+9
06 June	+4
05 June	+9
04 June	+5
03 June	+9
02 June	+6
01 June	+5

Channel Posts

🚀Greetings from PVR Cloud Tech!! 🌈 🔥 Do you want to become a Master in Azure Cloud Data Engineering? If you're ready to build in-demand skills and unlock exciting career opportunities, this is the perfect place to start! 📌 Start Date: 1st June 2026 ⏰ Time: 09 PM – 10 PM IST | Monday 🔗 𝐈𝐧𝐭𝐞𝐫𝐞𝐬𝐭𝐞𝐝 𝐢𝐧 𝐀𝐳𝐮𝐫𝐞 𝐃𝐚𝐭𝐚 𝐄𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐢𝐧𝐠 𝐥𝐢𝐯𝐞 𝐬𝐞𝐬𝐬𝐢𝐨𝐧𝐬? 👉 Message us on WhatsApp: https://wa.me/917032678595?text=Interested_to_join_Azure_Data_Engineering_live_sessions 🔹 Course Content: https://drive.google.com/file/d/1QKqhRMHx2SDNDTmPAf3₅4fA6LljKHm6/view 📱 Join WhatsApp Group: https://chat.whatsapp.com/EZghn5PVmryDgJZ1TjIMRk 📥 Register Now: https://forms.gle/LidHPdfxvNeg9LpeA Team PVR Cloud Tech :) +91-9346060794

2	🚀 Top Skills Every Data Engineer Should Learn 📊🔥 🧠 1. SQL Mastery ✔ Complex Queries ✔ JOINS & Window Functions ✔ Query Optimization ✔ Data Modeling ✔ Stored Procedures 🐍 2. Programming Skills ✔ Python for Automation ✔ APIs & JSON ✔ Data Processing Scripts ✔ Error Handling 🛠 Libraries to Learn: ✔ Pandas ✔ PySpark ✔ Requests ⚡ 3. ETL & Data Pipelines ✔ Extract, Transform, Load ✔ Workflow Automation ✔ Scheduling Jobs ✔ Monitoring Pipelines 🛠 Tools to Learn: ✔ Apache Airflow ✔ dbt ✔ Prefect ☁️ 4. Cloud Platforms ✔ Cloud Storage ✔ Data Lakes ✔ Scalable Processing ✔ Cloud Security Basics 🛠 Platforms to Learn: ✔ AWS ✔ Microsoft Azure ✔ Google Cloud Platform 📊 5. Big Data Technologies ✔ Distributed Computing ✔ Real-Time Streaming ✔ Batch Processing ✔ Scalable Systems 🛠 Technologies to Learn: ✔ Apache Spark ✔ Hadoop ✔ Apache Kafka 🗄 6. Databases & Warehousing ✔ Relational Databases ✔ NoSQL Databases ✔ Data Warehouses ✔ Schema Design 🛠 Databases to Learn: ✔ PostgreSQL ✔ MongoDB ✔ Snowflake ✔ BigQuery 🔄 7. DevOps & Deployment ✔ Version Control ✔ Containerization ✔ CI/CD Basics ✔ Deployment Automation 🛠 Tools to Learn: ✔ Git ✔ Docker ✔ Kubernetes 💡 Data Engineers don’t just move data… they build the backbone of modern AI & analytics systems. 💬 Tap ❤️ if this helped you!	1 636
3	📈 FREE Live Masterclass for Future Business Analysts! 📊 4 Steps to Become a Successful Business Analyst in 2026 📅 May 20th, 2026 ⏰ 7:00 PM 🌐 English 🎟️ 90 Minutes of Career Guidance & Industry Insights 💡 Learn: ✔ Core Business Analytics Skills & AI usage ✔ Real-World Case Studies ✔ Career Roadmap for 2026 ✔ Tools Used by Top Companies 🔥 Perfect for: Students \| Freshers \| Working Professionals \| Career Switchers 📌 Register Now: https://rebrand.ly/Business-analyst-webinar	1 549
4	What is the difference between data scientist, data engineer, data analyst and business intelligence? 🧑🔬 Data Scientist Focus: Using data to build models, make predictions, and solve complex problems. Cleans and analyzes data Builds machine learning models Answers “Why is this happening?” and “What will happen next?” Works with statistics, algorithms, and coding (Python, R) Example: Predict which customers are likely to cancel next month 🛠️ Data Engineer Focus: Building and maintaining the systems that move and store data. Designs and builds data pipelines (ETL/ELT) Manages databases, data lakes, and warehouses Ensures data is clean, reliable, and ready for others to use Uses tools like SQL, Airflow, Spark, and cloud platforms (AWS, Azure, GCP) Example: Create a system that collects app data every hour and stores it in a warehouse 📊 Data Analyst Focus: Exploring data and finding insights to answer business questions. Pulls and visualizes data (dashboards, reports) Answers “What happened?” or “What’s going on right now?” Works with SQL, Excel, and tools like Tableau or Power BI Less coding and modeling than a data scientist Example: Analyze monthly sales and show trends by region 📈 Business Intelligence (BI) Professional Focus: Helping teams and leadership understand data through reports and dashboards. Designs dashboards and KPIs (key performance indicators) Translates data into stories for non-technical users Often overlaps with data analyst role but more focused on reporting Tools: Power BI, Looker, Tableau, Qlik Example: Build a dashboard showing company performance by department 🧩 Summary Table Data Scientist - What will happen? Tools: Python, R, ML tools, predictions & models Data Engineer - How does the data move and get stored? Tools: SQL, Spark, cloud tools, infrastructure & pipelines Data Analyst - What happened? Tools: SQL, Excel, BI tools, reports & exploration BI Professional - How can we see business performance clearly? Tools: Power BI, Tableau, dashboards & insights for decision-makers 🎯 In short: Data Engineers build the roads. Data Scientists drive smart cars to predict traffic. Data Analysts look at traffic data to see patterns. BI Professionals show everyone the traffic report on a screen.	1 849
5	✅ Skills Required to Become a Data Engineer ⚙️🚀 🧠 PROGRAMMING 1. Python (Data Pipelines) 2. Java / Scala 3. Object-Oriented Programming 4. Scripting (Automation) 5. Debugging Skills 6. Code Optimization 7. API Handling 8. Version Control (Git) 🗄️ DATABASES 1. SQL (Advanced Queries) 2. NoSQL (MongoDB, Cassandra) 3. Database Design 4. Data Modeling 5. Indexing Partitioning 6. Query Optimization 7. Data Warehousing 8. OLTP vs OLAP ⚙️ ETL / ELT 1. Data Extraction 2. Data Transformation 3. Data Loading 4. Pipeline Building 5. Workflow Automation 6. Data Integration 7. Batch Processing 8. Real-time Processing ☁️ BIG DATA TECHNOLOGIES 1. Hadoop 2. Spark 3. Kafka 4. Hive 5. Flink 6. Distributed Systems 7. Cluster Computing 8. Stream Processing ☁️ CLOUD PLATFORMS 1. AWS (S3, Redshift, Glue) 2. Azure (Data Factory, Synapse) 3. Google Cloud (BigQuery) 4. Cloud Storage 5. Serverless Architecture 6. Data Lakes 7. Security IAM 8. Cost Optimization 📊 DATA PIPELINES 1. Building Scalable Pipelines 2. Data Orchestration (Airflow) 3. Scheduling Jobs 4. Monitoring Pipelines 5. Error Handling 6. Logging Systems 7. Data Reliability 8. Performance Tuning 🧱 DATA ARCHITECTURE 1. Data Lakes 2. Data Warehouses 3. Lakehouse Architecture 4. Schema Design 5. Data Governance 6. Data Security 7. Metadata Management 8. Scalability Planning 🔍 DEVOPS TOOLS 1. Docker 2. Kubernetes 3. CI/CD Pipelines 4. Linux Basics 5. Shell Scripting 6. Git GitHub 7. Monitoring Tools 8. Infrastructure as Code 💬 Tap ❤️ if this helped you follow for more Data Engineering content!	1 874
6	Every day you login... Work.. and logout. Days become months. Months become years. But nothing changes. Same role. Same work. Same pay. Meanwhile, others are moving into Cloud & Data Engineering… building real systems and earning better. If you are looking to get into Azure Data Engineering then.. 𝗝𝗼𝗶𝗻 𝘁𝗵𝗲 3 months 𝗟𝗶𝘃𝗲 𝗣𝗿𝗼𝗴𝗿𝗮𝗺 📌 Start Date: 20th April 2026 ⏰ Time: 9 PM – 10 PM IST \| Monday 👉 𝐌𝐞𝐬𝐬𝐚𝐠𝐞 𝐮𝐬 𝐨𝐧 𝐖𝐡𝐚𝐭𝐬𝐀𝐩𝐩: https://wa.me/917032678595?text=Interested_to_join_Azure_Data_Engineering_live_sessions 🔹 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲: https://forms.gle/DRXEhvyG9ENDsNYR9 🎟️ 𝗝𝗼𝗶𝗻 𝗪𝗵𝗮𝘁𝘀𝗔𝗽𝗽 𝗚𝗿𝗼𝘂𝗽: https://chat.whatsapp.com/GCG3Si7vhrJD1evV9NAbhL 🏀 𝗖𝗼𝘂𝗿𝘀𝗲 𝗖𝗼𝗻𝘁𝗲𝗻𝘁: https://drive.google.com/file/d/1QKqhRMHx2SDNDTmPAf3_54fA6LljKHm6/view	514
7	🧠 SQL Interview Question (Running Total of Sales) 📌 sales(order_id, order_date, amount) ❓ Ques : 👉 Calculate the running total of sales for each day 👉 Return order_date, daily_sales, running_total 🧩 How Interviewers Expect You to Think • Aggregate sales per day 📊 • Use window function for cumulative sum • Order data correctly for running calculation 💡 SQL Solution WITH daily_sales AS ( SELECT order_date, SUM(amount) AS daily_sales FROM sales GROUP BY order_date ) SELECT order_date, daily_sales, SUM(daily_sales) OVER ( ORDER BY order_date ) AS running_total FROM daily_sales; 🔥 Why This Question Is Powerful • Tests window functions (must-know) 🧠 • Very common in real-world reporting • Frequently asked in analyst & BI roles ❤️ React for more SQL interview questions 🚀	1 994
8	🔰 Python function with an example	1 709

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